samsung SM-A146P
Geekbench ML Score
217
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 27 2025 01:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| Motherboard | a14xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
149
16.0 IPS |
|
|
Image Classification (F16)
|
100% |
154
16.5 IPS |
|
|
Image Classification (I8)
|
81% |
161
17.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
314
1.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
314
1.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
557
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
188
6.61 IPS |
|
|
Object Detection (F16)
|
100% |
193
6.79 IPS |
|
|
Object Detection (I8)
|
52% |
234
8.21 IPS |
|
|
Face Detection (F32)
|
100% |
329
3.78 IPS |
|
|
Face Detection (F16)
|
100% |
326
3.75 IPS |
|
|
Face Detection (I8)
|
75% |
378
4.35 IPS |
|
|
Text Classification (F32)
|
100% |
216
85.3 IPS |
|
|
Text Classification (F16)
|
100% |
216
85.4 IPS |
|
|
Machine Translation (F32)
|
100% |
188
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.1 IPS |
